Abstract: Automatically determining pricing for at least one unit of content that can be selected and licensed or purchased over a network. Pricing is determined based on an initial price, and at least one of the following: a reviewer rating, content activity, or a customer offer price. Each of these factors may be weighted. The initial price may be a minimum price, a maximum price, a suggested price from a content owner, a pre-calculated market price, or other initial price. Content activity generally reflects user behaviors related to a content item, such as selecting a content item from a search results list, saving it as a favorite, returning to view it, placing it in a virtual shopping cart, or licensing it. Content activity combined with reviewer rating and/or offer price, indicates a “snappyness” score. A new price is dynamically calculated based on the initial price and snappyness score.

Abstract: Distributing review of content or other items for conformance with quality requirements or other criteria. Embodiments include distributing media assets over an electronic network to a number of reviewers. Each reviewer uses an interface to review a media asset and corresponding metadata submitted by a content provider. The interface guides the reviewers through a consistent and easily understood review of the assets, such that reviews need not be domain experts. The reviewer enters pass/fail decisions, comments, additional metadata, one or more ratings on aspects of the asset, or other reviewer information regarding the asset. A media review manager receives the reviewer information regarding each asset and determines whether each asset satisfies overall acceptance criteria. Accepted assets are made accessible to other users such as customers for searching, licensing, or other uses.

Abstract: Automatically determining pricing for at least one unit of content that can be selected and licensed or purchased over a network. Pricing is determined based on an initial price, and at least one of the following: a reviewer rating, content activity, or a customer offer price. Each of these factors may be weighted. The initial price may be a minimum price, a maximum price, a suggested price from a content owner, a pre-calculated market price, or other initial price. Content activity generally reflects user behaviors related to a content item, such as selecting a content item from a search results list, saving it as a favorite, returning to view it, placing it in a virtual shopping cart, or licensing it. Content activity combined with reviewer rating and/or offer price, indicates a “snappyness” score. A new price is dynamically calculated based on the initial price and snappyness score.